Results 221 to 230 of about 31,762 (259)

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

open access: yesAdvanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh   +2 more
wiley   +1 more source

Combining curriculum learning and weakly supervised attention for enhanced thyroid nodule assessment in ultrasound imaging. [PDF]

open access: yesQuant Imaging Med Surg
Keatmanee C   +6 more
europepmc   +1 more source

Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images. [PDF]

open access: yesSci Rep
Yoo JJ   +8 more
europepmc   +1 more source

Discovering subtypes with imaging signatures in the Motoric Cognitive Risk Syndrome Consortium using weakly supervised clustering. [PDF]

open access: yesAlzheimers Dement (Amst)
Nallapu BT   +15 more
europepmc   +1 more source

Salvage of Supervision in Weakly Supervised Object Detection and Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Weakly supervised vision tasks, including detection and segmentation, have attracted much attention in the vision community recently. However, the lack of detailed and precise annotations in the weakly supervised case leads to a large accuracy gap between weakly- and fully-supervised methods.
Jianxin Wu, Chen-Lin Zhang, Lin Sui
exaly   +3 more sources

Weakly-Supervised Attribute Segmentation

2021 IEEE International Conference on Multimedia and Expo (ICME), 2021
Semantic segmentation is a fundamental vision problem which aims to divide an image into non-overlapped regions and then assign them with predefined object labels. Despite its latest development (especially deep neural network-based), semantic segmentation is still far from comprehensive understanding of the visual world around us.
Guangzhen Liu, Zhiwu Lu 0001
openaire   +1 more source

Home - About - Disclaimer - Privacy